Tujuan dari penelitian ini adala untuk mengembangkan sebuah sistem penanggulangan tindak krimimal begal. Sistem dibangun dengan konsep Internet of Thing dengan menggunakan teknologi mikrokontroler. Sistem dirancang untuk dapat mengirimkan data lokasi dan detak jantung korban kriminal begal secara waktu sebenar. 10 lokasi dipilih untuk menguji keakuratan data lokasi dan 6 sampel mahasiswa dipilih untuk menguji data detak jantung. Hasil dari penelitian didapati bahwa sistem yang dibangun dapat mengirimkan data lokasi dengan akurat dengan rata-rata jarak (0.54 +- 0.75) meter, t(9) = -1.223, p = .234. Sedangkan untuk data detak jantung didapati tidak ada perbedaan antara data dari sistem berbanding dengan data sebenar (t(5) = -2.123, p = .223). Untuk perbaikan pada sistem, perlu ditambahkan beberapa variabel seperti suhu badan dan getaran.

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This study compares between the Type-1 Fuzzy and Interval Type-2 Fuzzy in Decision Support System (DSS). The case studied in this paper deals with supplier selection for development of new product. DSS is developed to recommend a decision in providing assessment criteria for the supplier. Both of the systems used similar membership functions and rules. It is shown that Type-2 Fuzzy can manage the level of uncertainty in decision making. In general, both systems have a surface resemblance. The result indicates that Type-2 Fuzzy based on decision making with a level of uncertainty can provide alternative decisions although it took about 56 times longer than type-1.

<p class="Abstrak"><span lang="IN">Penggunaan teknologi informasi untuk mengatasi kemacetan lalu lintas sudah banyak digunakan, salah satunya adalah dengan menggunakan CCTV. Citra dari CCTV diurai antara <em>foreground</em> (citra kendaraan, sebagai salah satu komponen penyebab kemacetan) dan <em>background</em>nya (citra latar lalu lintas), fokus penelitian salah satunya adalah cara menentukan <em>background model</em> dengan berbagai macam teknik. Pada penelitian ini mencoba memberikan alternatif penentuan <em>background model</em> dengan menerapkan kandidat <em>sampling background</em> sebagai <em>background model. </em>Lokasi penelitan pada simpang bypass ketaping padang dan pengambilan gambar menggunakan raspberry pi dan web camera dengan arah tembakan menyamping dan durasi tembakan tiap menit. Hasil yang didapatkan cukup memuaskan terutama pada kondisi pagi dan siang hari.</span></p><p class="Abstrak"> </p><p class="Abstrak"><strong><em>Abstract</em></strong></p><p class="Abstrak"> </p><p class="Abstrak"><em><span lang="IN">The use of information technology to overcome traffic congestion has been widely used, one of them is by using CCTV. The image of CCTV is parsed between the foreground (vehicle image, as one of the components of the congestion cause) and the background (traffic background image), the focus of research is one way of determining the background model with various techniques. In this research try to give alternative background model determination by applying background sampling candidate as background model. Research location at intersection bypass ketaping and taking pictures using raspberry pi and web camera with sideways shot direction and duration of shots every minute. The results obtained are quite satisfactory, especially in the condition of morning and afternoon.</span></em></p>

Livestock health management is a major factor in the sustainability of cattle farms. However, health care for livestock by veterinarian costs lots of time and money. The purpose of this study was to develop an android IoT device for cow physiological health management through detection of cow temperature, heart rate and breathing rhythm. This device is built based on a microcontroller. By using the concept of IoT to send data, then the information generated on the device will be displayed directly to the android application. Three adult cows were measured using android IoT device compared to conventional measurement methods as controls. This procedure was carried out for morning (06:30-09:30 am), afternoon (11:00-01:00 pm) and evening (04:30-05:30 pm). Independent sample t-test was used to determine whether there were significant differences between Android IoT device and conventional measurement method. The results show that there is no significant difference between the two methods for temperature (t(58) = -0.191, p = 0.849) and heart rate (t(58) = -0.459, p = 0.648). Utilization of device makes it easy for cattle farmers to monitor cow health regularly at economical prices and provide remote information. Furthermore, this device needs to be tested on types of ruminants such as goats, sheep and buffaloes.